Machine Learning Jobs

Positions 425,970 Updated daily

Machine learning is reshaping industries from finance to healthcare. Demand for talent spikes as companies adopt predictive analytics, automated underwriting, and personalized medicine. Data‑driven product teams need engineers who can translate theory into scalable solutions using TensorFlow, PyTorch, or AWS SageMaker.

Within the field you’ll find roles such as ML Engineer, responsible for productionizing models, Data Scientist building prototypes, Research Scientist pushing algorithmic frontiers, ML Ops Engineer focusing on CI/CD pipelines, and AI Product Manager bridging tech and business. Typical duties include feature engineering, model training, hyper‑parameter tuning, model monitoring, and collaborating with data engineers to maintain data pipelines.

Salary transparency is vital for ML professionals because the field’s rapid evolution creates pay disparities across domains. Knowing the market range for a TensorFlow‑based model deployer in New York versus a research scientist in Seattle helps candidates negotiate realistic offers, assess equity and bonus structures, and prevent skill‑based wage gaps.

Technical Project Manager

Company: IBM

Location: Hong Kong, HK

Posted Dec 24, 2025

The text describes the role and responsibilities of a Technical Project Manager, emphasizing leadership, technical expertise, and project management skills. It outlines key duties such as project planning, stakeholder management, and quality assurance, while detailing educational and professional requirements for the position.

IT Talent Acquisition Partner

Company: IBM

Location: Heredia, CR

Posted Dec 24, 2025

The role involves recruiting strategies, collaborating with hiring managers, and managing ATS systems. Required skills include English fluency, Agile experience, and data analysis.

Application Developer-DevOps

Company: IBM

Location: Multiple Cities

Posted Dec 24, 2025

This text describes a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with clients, DevOps practices, and professional growth opportunities. It outlines responsibilities like designing cloud applications, working with cross-functional teams, and contributing to infrastructure automation. Required skills include problem-solving, teamwork, and adaptability in a fast-paced environment.

Cybersecurity Specialist - Red Team | Remote

Company: Lumitekno Kreasi Global

Location: Remote

Posted Dec 23, 2025

This job posting seeks a Cybersecurity Specialist Red Team member for remote security testing and system improvement. The role involves real-world security assessments, vulnerability analysis, and collaboration with engineering teams. Requirements include production system experience, technical skills in web security, and familiarity with testing tools. The position offers career development and competitive compensation with a structured hiring process.

Product Manager GeckoTerminal

Company: CoinGecko

Location: Malaysia

Posted Dec 23, 2025

CoinGecko, a leading cryptocurrency data platform, seeks a Product Manager to drive innovation in crypto tools. The role offers competitive salaries, remote flexibility, and comprehensive benefits, reflecting the company's commitment to growth and employee well-being.

Commercial Counsel - Crypto

Company: Stripe

Location: USA

Posted Dec 23, 2025

Stripe seeks a Commercial Counsel to support their Stablecoin & Crypto team, focusing on legal and commercial negotiations, product launches, and infrastructure scaling. The role emphasizes collaboration across teams, compliance, and innovation in fintech and cryptocurrency spaces. Requirements include legal expertise, problem-solving skills, and experience with AI tools.

Business Sales & Delivery Leader

Company: IBM

Location: JEFFERSON CITY, US

Posted Dec 24, 2025

This role emphasizes leading in technology, solving complex problems, and collaborating on innovative solutions with expertise in data analytics and Azure tools.

Product Manager GeckoTerminal

Company: CoinGecko

Location: Malaysia

Posted Dec 23, 2025

CoinGecko, a leading cryptocurrency data platform, seeks a Product Manager to drive GeckoTerminal's growth. The role offers competitive salaries, remote flexibility, and comprehensive benefits, reflecting their commitment to innovation and employee well-being.

Technology Lifecycle Support - Brand Technical Sales SME - MVS Software

Company: IBM

Location: Multiple Cities

Posted Dec 24, 2025

The text describes a sales role at IBM focusing on driving software adoption, building client relationships, and delivering innovative solutions. It emphasizes collaboration, growth opportunities, and the impact of IBM's technology on businesses, highlighting a positive work environment and career development prospects.

Application Developer-Oracle Cloud Integration

Company: IBM

Location: Kolkata, IN

Posted Dec 24, 2025

The text describes a Software Developer role at IBM Consulting, emphasizing collaboration on hybrid cloud and AI projects, career growth, and innovative solutions. It highlights required skills in database integration and technology implementation, while promoting a culture of curiosity and continuous learning.

HR Partner (Japanese Speaking)

Company: IBM

Location: PETALING JAYA, MY

Posted Dec 24, 2025

The text describes a Team HR Partner role at IBM, outlining responsibilities such as supporting managers through AskHR, enhancing digital HR tools, and collaborating across business units. It lists required qualifications including a bachelor's degree, Japanese language proficiency, and HR expertise, while emphasizing skills like collaboration, communication, and client focus.

Site Reliability Engineering Professional

Company: IBM

Location: BANGALORE, IN

Posted Dec 24, 2025

The text highlights IBM's Finance & Operations role as a critical driver of transformation, emphasizing efficiency, innovation, and career growth opportunities. It outlines key responsibilities and required skills for various positions while promoting a dynamic, learning-focused environment.

Frequently Asked Questions

What are typical salary ranges by seniority for machine learning roles?
Entry‑level ML Engineer: $90k–$120k; Mid‑level ML Engineer or Data Scientist: $120k–$160k; Senior ML Engineer or Research Scientist: $160k–$220k; Lead ML Engineer or Principal Research Scientist: $200k–$280k; AI Product Manager: $130k–$180k depending on experience and market.
What skills and certifications are most valuable in machine learning today?
Core language: Python; Deep learning frameworks: TensorFlow, PyTorch; Scikit‑learn for classical models; SQL and NoSQL databases for data ingestion; Docker and Kubernetes for deployment; Cloud AI services such as AWS SageMaker, GCP Vertex AI, Azure ML. Certifications: TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, GCP Professional Machine Learning Engineer.
How common is remote work for machine learning positions?
Over 70% of ML roles allow full remote or hybrid arrangements. Startups and fintech firms tend to offer 100% remote options, while larger enterprises often provide hybrid models with occasional on‑site data‑center visits. Remote work is especially prevalent for roles focused on model training and research.
What career progression paths exist in machine learning?
Typical paths: ML Engineer → Senior ML Engineer → Lead ML Engineer → ML Manager; Data Scientist → Senior Data Scientist → Lead Data Scientist → Head of Data; Research Scientist → Senior Research Scientist → Principal Scientist → Chief Data Scientist; ML Ops Engineer → Senior ML Ops Engineer → Lead ML Ops Engineer → Director of MLOps. Progression often involves moving from coding to architecture, then to leadership and strategy.
What are the current industry trends shaping machine learning hiring?
Key trends: reinforcement learning for autonomous systems; federated learning for privacy‑preserving models; edge AI for IoT devices; AutoML platforms speeding model deployment; MLOps practices for scalable pipelines; explainable AI and ethics compliance; and increased demand for AI governance roles.

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